174 related articles for article (PubMed ID: 33724304)
21. Methylated RNA Immunoprecipitation Assay to Study m5C Modification in Arabidopsis.
Saplaoura E; Perrera V; Colot V; Kragler F
J Vis Exp; 2020 May; (159):. PubMed ID: 32478728
[TBL] [Abstract][Full Text] [Related]
22. Identification and comparison of m6A modifications in glioblastoma non-coding RNAs with MeRIP-seq and Nanopore dRNA-seq.
Krusnauskas R; Stakaitis R; Steponaitis G; Almstrup K; Vaitkiene P
Epigenetics; 2023 Dec; 18(1):2163365. PubMed ID: 36597408
[TBL] [Abstract][Full Text] [Related]
23. bakR: uncovering differential RNA synthesis and degradation kinetics transcriptome-wide with Bayesian hierarchical modeling.
Vock IW; Simon MD
RNA; 2023 Jul; 29(7):958-976. PubMed ID: 37028916
[TBL] [Abstract][Full Text] [Related]
24. BAGSE: a Bayesian hierarchical model approach for gene set enrichment analysis.
Hukku A; Quick C; Luca F; Pique-Regi R; Wen X
Bioinformatics; 2020 Mar; 36(6):1689-1695. PubMed ID: 31702789
[TBL] [Abstract][Full Text] [Related]
25. Powerful differential expression analysis incorporating network topology for next-generation sequencing data.
Dona MSI; Prendergast LA; Mathivanan S; Keerthikumar S; Salim A
Bioinformatics; 2017 May; 33(10):1505-1513. PubMed ID: 28172447
[TBL] [Abstract][Full Text] [Related]
26. Comprehensive Analysis of the Transcriptome-Wide m6A Methylome in Pterygium by MeRIP Sequencing.
Jiang Y; Zhang X; Zhang X; Zhao K; Zhang J; Yang C; Chen Y
Front Cell Dev Biol; 2021; 9():670528. PubMed ID: 34249924
[TBL] [Abstract][Full Text] [Related]
27. MeRIP-PF: an easy-to-use pipeline for high-resolution peak-finding in MeRIP-Seq data.
Li Y; Song S; Li C; Yu J
Genomics Proteomics Bioinformatics; 2013 Feb; 11(1):72-5. PubMed ID: 23434047
[TBL] [Abstract][Full Text] [Related]
28. IntAPT: integrated assembly of phenotype-specific transcripts from multiple RNA-seq profiles.
Shi X; Neuwald AF; Wang X; Wang TL; Hilakivi-Clarke L; Clarke R; Xuan J
Bioinformatics; 2021 May; 37(5):650-658. PubMed ID: 33016988
[TBL] [Abstract][Full Text] [Related]
29. MeDIP-HMM: genome-wide identification of distinct DNA methylation states from high-density tiling arrays.
Seifert M; Cortijo S; Colomé-Tatché M; Johannes F; Roudier F; Colot V
Bioinformatics; 2012 Nov; 28(22):2930-9. PubMed ID: 22989518
[TBL] [Abstract][Full Text] [Related]
30. Evaluation of epitranscriptome-wide N6-methyladenosine differential analysis methods.
Duan D; Tang W; Wang R; Guo Z; Feng H
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37039682
[TBL] [Abstract][Full Text] [Related]
31. m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks.
Zhang SY; Zhang SW; Liu L; Meng J; Huang Y
PLoS Comput Biol; 2016 Dec; 12(12):e1005287. PubMed ID: 28027310
[TBL] [Abstract][Full Text] [Related]
32. Riborex: fast and flexible identification of differential translation from Ribo-seq data.
Li W; Wang W; Uren PJ; Penalva LOF; Smith AD
Bioinformatics; 2017 Jun; 33(11):1735-1737. PubMed ID: 28158331
[TBL] [Abstract][Full Text] [Related]
33. CLIP-seq analysis of multi-mapped reads discovers novel functional RNA regulatory sites in the human transcriptome.
Zhang Z; Xing Y
Nucleic Acids Res; 2017 Sep; 45(16):9260-9271. PubMed ID: 28934506
[TBL] [Abstract][Full Text] [Related]
34. Analyses of Epigenetic Modification in Environmental Pollutants-Induced Neurotoxicity.
Yu G; Guo Z; Li H
Methods Mol Biol; 2021; 2326():123-141. PubMed ID: 34097265
[TBL] [Abstract][Full Text] [Related]
35. bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data.
Tang W; Bertaux F; Thomas P; Stefanelli C; Saint M; Marguerat S; Shahrezaei V
Bioinformatics; 2020 Feb; 36(4):1174-1181. PubMed ID: 31584606
[TBL] [Abstract][Full Text] [Related]
36. Identification of Methylated Transcripts Using the TRIBE Approach.
Worpenberg L; Jakobi T; Dieterich C; Roignant JY
Methods Mol Biol; 2019; 1870():89-106. PubMed ID: 30539549
[TBL] [Abstract][Full Text] [Related]
37. Comprehensive Analysis and Functional Characteristics of Differential Expression of N6-Methyladenosine Methylation Modification in the Whole Transcriptome of Rheumatoid Arthritis.
Wan L; Liu J; Huang C; Zhu Z; Wang K; Sun G; Zhu L; Hu Z
Mediators Inflamm; 2022; 2022():4766992. PubMed ID: 36330380
[TBL] [Abstract][Full Text] [Related]
38. Differential methylation analysis for BS-seq data under general experimental design.
Park Y; Wu H
Bioinformatics; 2016 May; 32(10):1446-53. PubMed ID: 26819470
[TBL] [Abstract][Full Text] [Related]
39. Hierarchical probabilistic models for multiple gene/variant associations based on next-generation sequencing data.
Vavoulis DV; Taylor JC; Schuh A
Bioinformatics; 2017 Oct; 33(19):3058-3064. PubMed ID: 28575251
[TBL] [Abstract][Full Text] [Related]
40. NBLDA: negative binomial linear discriminant analysis for RNA-Seq data.
Dong K; Zhao H; Tong T; Wan X
BMC Bioinformatics; 2016 Sep; 17(1):369. PubMed ID: 27623864
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]